桥梁传感和行动:通过可重编程液晶弹性体进行自主对象排序
Lorena Montesino1, María López-Valdeolivas1, Jesús I Martínez1
1Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, Departamento de Física de la Materia Condensada, Zaragoza, 50009, Spain. carlos.s@csic.es.
Materials horizons
|June 2, 2025
概括
研究人员开发了一种新的液晶弹性体 (LCE) 执行器,通过光传输自主排序物体. 这种可重编程软机器人集成了传感,规划和执行高级自主功能.
科学领域:
- 软机器人软机器人 软机器人
- 材料科学是一种材料科学.
- 自主系统 自主系统
背景情况:
- 在软机器人技术中实现自主性需要集成的传感,规划和执行.
- 响应刺激的液晶弹性体 (LCE) 提供了内在的传感和适应性,但目前的系统是反应性的.
- 现有的自我调节的LCE使用反机制,对复杂的任务具有有限的适应能力.
研究的目的:
- 介绍一个可重编程的LCE执行器,用于基于光学属性的自主对象排序.
- 为了克服传统的自调节LCE系统的反应性限制.
- 向更大的自主性推进软机器人,体现感觉-计划-行动范式.
主要方法:
- 使用二胺合的LCE用于控制绿光照明.
- 基于对象光学属性的执行空间根基生成,用于基于对象光学属性的执行规划.
- 采用远红色辐射来触发选择性分类的不同启动模式.
主要成果:
- 展示了一种LCE执行器,能够通过绿灯传输自主感知和分类物体.
- 实现了模式编码的执行,在相同的条件下,使不同的机械响应能够对相同的条件下的各种光学特征作出不同的机械反应.
- 开发了一种单一材料,可光学重置的系统,整合了感官反,决策和自适应式执行.
结论:
- 展示的LCE执行器超越了反应性行为,为软机器人技术中更复杂的自主功能提供了途径.
- 这种方法将传感,规划和执行集成到一个单一的可重编程材料系统中.
- 这些发现代表了基于LCE的机器人技术的重大进步,更接近真正的自治.
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